Great solution for managing your MySQL database
January 13, 2021

Great solution for managing your MySQL database

Jose Manuel Ortega | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Percona Server for MySQL

We are using Percona Server for MySQL along with other solutions oriented to managing NoSQL databases such as MongoDB and others oriented to documents such as ElasticSearch.This tool complements other tools in order to complete the lifecycle of applications and measure their performance in different environments.
  • Faster than other server solutions
  • Installation and configuration process is easy from the user's standpoint
  • Easy to learn and good support
  • The performance and throughput can be improved in big databases
  • Documentation for the end user can be improved
  • The server time response can be improved since it can be a bit slow when you are doing multiple requests in parallel
  • At the performance level, it maintains and even improves other open-source databases such as MariaDB or some commercial ones such as Oracle.
  • If we compare it with MySQL, we could have up to 50% improvement in performance.
  • For some small companies or startups, the price of the complete solution and the support can be a bit high.
It is a solution that complements those mentioned, and if we know the ecosystem of Percona tools, it is easier for us to learn the different options it offers.

Do you think Percona Server for MySQL delivers good value for the price?

Yes

Are you happy with Percona Server for MySQL's feature set?

Yes

Did Percona Server for MySQL live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Percona Server for MySQL go as expected?

Yes

Would you buy Percona Server for MySQL again?

Yes

Percona Monitoring and Management (PMM), Percona Backup for MongoDB
It is a good tool to carry out tests that measure the level of effectiveness of the database and it behaves well when, at the project level, we need to process large volumes of data in a massive way.

It is not an optimal solution for applications oriented to the distribution of data between different machines.